• Title/Summary/Keyword: Game Using

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Design of Computer Using-Time Control System for Prevention of Game Toxication (게임중독 예방을 위한 컴퓨터 사용시간 제어시스템)

  • Cho, Sang-Hyun;Choi, Min-Kyu
    • Journal of Korea Game Society
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    • v.1 no.1
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    • pp.17-23
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    • 2001
  • In this paper, we refer to positive effect and negative effect of game. And we inquire the recent trend of edutainment that emphasizes charm of game and educational effect at the same time. Because the simulation game and the role-playing game have strong toxication, the limitation of computer use is essential. Therefore, we present dynamic computer using-time control system for prevention of game toxicaton and for activity of educational contents. The method considered in this paper increases computer using-time n proportion to using of educational contents. So it lead user of computer to use educational contents voluntarily.

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A Design and Implementation Mobile Game Based on Kinect Sensor

  • Lee, Won Joo
    • Journal of the Korea Society of Computer and Information
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    • v.22 no.9
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    • pp.73-80
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    • 2017
  • In this paper, we design and implement a mobile game based on Kinect sensor. This game is a motion recognition maze game based on Kinect sensor using XNA Game Studio. The game consists of three stages. Each maze has different size and clear time limit. A player can move to the next stage only if the player finds the exit within a limited time. However, if the exit is not found within the time limit, the game ends. In addition, two kinds of mini games are included in the game. The first game is a fruit catch game using motion recognition tracking of the Kinect sensor, and player have to pick up a certain number of randomly falling fruits. If a player acquire a certain number of fruits at this time, the movement speed of the player is increased. However, if a player takes a skeleton that appears randomly, the movement speed will decrease. The second game is a Quiz game using the speech recognition function of the Kinect sensor, and a question from random genres of common sense, nonsense, ancient creature, capital, constellation, etc. are issued. If a player correctly answers more than 7 of 10 questions, the player gets useful items to use in finding the maze. This item is a navigator fairy that helps the player to escape the forest.

Implementation of 3D mobile game using radiosity model and AI algorithm (Radiosity model과 AI 알고리즘을 이용한 모바일 게임 구현)

  • Kim, Seongdong;Chin, Seonga;Cho, Teresa
    • Journal of Korea Game Society
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    • v.17 no.1
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    • pp.7-16
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    • 2017
  • The 3D game graphic technology has become an important factor in the contents field with the game contents development. In particular, game character technology provides a realistic technique and visual pleasure, as well as an intermediate step in the immersion of the game in which the game might create an optical illusion that enables the player to enjoy heroic adventure in the game. The high expression level of characters in 3D games is a key factor in the development process, with details and carefulness of the character setting work [3]. In this paper, we propose a character representative technique applied to mobile games using mathematical model of radiosity energy, spectral radiance model, and ray tracing model method using 3D unity game engine with sensible AI algorithm for game implementation. As a practical application to the game contents, it was found that the projection of the surface in the rendering process and the game simulation might change according to the lighting condition of the game content environment, so that the high quality of game characters was simulated.

Game Elements Balancing using Deep Learning in Artificial Neural Network (딥러닝이 적용된 게임 밸런스에 관한 연구 게임 기획 방법론의 관점으로)

  • Jeon, Joonhyun
    • Journal of the HCI Society of Korea
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    • v.13 no.3
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    • pp.65-73
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    • 2018
  • Game balance settings are crucial to game design. Game balancing must take into account a large amount of numerical values, configuration data, and the relationship between elements. Once released and served, a game - even for a balanced game - often requires calibration according to the game player's preference. To achieve sustainability, game balance needs adjustment while allowing for small changes. In fact, from the producers' standpoint, game balance issue is a critical success factor in game production. Therefore, they often invest much time and capital in game design. However, if such a costly game cannot provide players with an appropriate level of difficulty, the game is more likely to fail. On the contrary, if the game successfully identifies the game players' propensity and performs self-balancing to provide appropriate difficulty levels, this will significantly reduce the likelihood of game failure, while at the same time increasing the lifecycle of the game. Accordingly, if a novel technology for game balancing is developed using artificial intelligence (AI) that offers personalized, intelligent, and customized service to individual game players, it would bring significant changes to the game production system.

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An Implementation of Othello Game Player Using ANN based Records Learning and Minimax Search Algorithm (ANN 기반 기보학습 및 Minimax 탐색 알고리즘을 이용한 오델로 게임 플레이어의 구현)

  • Jeon, Youngjin;Cho, Youngwan
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.67 no.12
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    • pp.1657-1664
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    • 2018
  • This paper proposes a decision making scheme for choosing the best move at each state of game in order to implement an artificial intelligence othello game player. The proposed decision making scheme predicts the various possible states of the game when the game has progressed from the current state, evaluates the degree of possibility of winning or losing the game at the states, and searches the best move based on the evaluation. In this paper, we generate learning data by decomposing the records of professional players' real game into states, matching and accumulating winning points to the states, and using the Artificial Neural Network that learned them, we evaluated the value of each predicted state and applied the Minimax search to determine the best move. We implemented an artificial intelligence player of the Othello game by applying the proposed scheme and evaluated the performance of the game player through games with three different artificial intelligence players.

Representation of Game Character Using Measurement Information of Player's Physical Status (게임 플레이어의 신체 측정 정보를 이용한 게임 캐릭터의 표현)

  • Park, So-Hee;Kim, Bo-Sung;Park, Jong-Seung
    • Journal of Korea Game Society
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    • v.15 no.6
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    • pp.7-16
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    • 2015
  • To improve the sense of unity between game players and game world avatars, we propose a method to measure game player's physical status and manipulate game character appearances and behavior using the measurements. To measure the status, we implemented a hardware module that perceive the body temperature. We implemented a 3D horror game whose game space is a common subway space ordinarily encountered in daily life so that ordinary people can easily get used to the game environment. The experiments of applying the measurement data from the game player to the game world avatar shows that the player's physical status can be effectively utilized to improve the sense of reality in gameplay.

A Study of Player Changed-pattern Model for Game Bots Detection in MMORPG (MMORPG에서 게임 봇 프로그램 탐지를 위한 플레이어 패턴 변화 모델에 관한 연구)

  • Yoon, Tae-Bok;Lee, Jee-Hyong
    • Journal of Korea Game Society
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    • v.11 no.1
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    • pp.121-129
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    • 2011
  • In an online-game, the various game service victimized cases are generated by the bots program or auto program. Particularly, the abnormal collection of the game money and item loses the inherent fun of a game. It reaches ultimately the definite bad effect to the game life cycle. This paper collects and analyzes the pattern of game behavior change for the bots detection method. By using the game activity changing information of the human and game activity changing information of the bots, the degree of resemblance was measured. It utilized in the bots detection method. In an experiment, by using the served online-game, the model of a user and bots were generated and similarity was distinguished. And the reasonable result was confirmed.

Development of Mobile Social Network Game by using Web Service

  • An, Syoungog;Kang, ManJe;Kim, Soo Kyun
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.10
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    • pp.81-86
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    • 2018
  • In the field of mobile games, social network games are steadily increasing in market scale and public interest every year. This paper proposes a method to design a social network game, which is one of the most successful genres in mobile games. The method uses Unity3D, the most commonly used engine for mobile game development. NGUI, a versatile developmental tool of Unity3D, is used to create shops and battle UIs. This paper particularly focuses on how to use the web hosting service to search and operate the necessary data from the database in the server. In addition, the proposed social network game is easy to implement real-time battle using Animator and Raycast, and is characterized by efficient battle implementation through time delay using Coroutine function.

Quick and easy game bot detection based on action time interval estimation

  • Yong Goo Kang;Huy Kang Kim
    • ETRI Journal
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    • v.45 no.4
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    • pp.713-723
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    • 2023
  • Game bots are illegal programs that facilitate account growth and goods acquisition through continuous and automatic play. Early detection is required to minimize the damage caused by evolving game bots. In this study, we propose a game bot detection method based on action time intervals (ATIs). We observe the actions of the bots in a game and identify the most frequently occurring actions. We extract the frequency, ATI average, and ATI standard deviation for each identified action, which is to used as machine learning features. Furthermore, we measure the performance using actual logs of the Aion game to verify the validity of the proposed method. The accuracy and precision of the proposed method are 97% and 100%, respectively. Results show that the game bots can be detected early because the proposed method performs well using only data from a single day, which shows similar performance with those proposed in a previous study using the same dataset. The detection performance of the model is maintained even after 2 months of training without any revision process.

Ultimate-Game Automatic Trace and Analysis System Using IoT (사물인터넷 기반 얼티미트 경기 자동추적 및 분석 시스템)

  • Lim, Jea Yun
    • KIPS Transactions on Software and Data Engineering
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    • v.11 no.1
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    • pp.59-66
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    • 2022
  • In this paper, by applying IoT technology to the Ultimate game, which is one of the games using Flyingdisc, the process of the game is traced based on the players and the flyingdisc, and a comprehensive relationship analysis between players is performed on the results of the game. A WiFi module with built-in GPS is attached in the players and flyingdisc. The player's ID, latitude/longitude values received from GPS and time are stored in the database in realtime during the game. Process informations of the game is also stored in the database at the same time using mobile Ultimate game App. Based on this informations after the game is over, we developed a system that can perform comprehensive analysis of the game contents. By using the informations stored in the database, the player-based game process and the flyingdisc-based scoring process are visualized in the virtual playground. Various game result informations for players are graphically analyzed using Python.